Paras Doshi

Lead all data functions including data science, analytics, 3rd party data acquisition, and data engineering across product, marketing, sales, partnerships, pricing and operations.

I led a team of Data Engineers, Business Intelligence engineers and Data Scientists that drives growth and monetization for Alexa grocery shopping products: http://amazon.com/alexagrocery The best part of my job was partnering with amazing people to build products and seeing them go from 0 -> millions of users in a very short amount of time! e.g. Alexa Shopping List (Alexa, add banana to my shopping list), Alexa's Smart Reorder notifications (Alexa: you might be running out of paper towels, do you want to re-order).

I worked in the office of institutional advancement and led the data science function to build predictive models that improved fundraising efficiency.

All things data & analytics.

I was part of the strategy & operations team (reporting to COO) with a mission to help Kiva make data-driven decisions. My biggest contribution at Kiva was completely revamping the analytics architecture (back-end + front-end) to use the MPP analytics database + Looker within 5 months. As of Q2 2109 (when Google announced the acquisition of Looker), The analytics tech-stack is still heavily used nearly 4.5 years later! (see recommendations provided by my successors)

> I worked in the Business Analytics Consulting group that helped clients uncover trends, patterns & insights from their data through Microsoft Tech-stack. I was surrounded by the best business intelligence experts in the world: Microsoft Most Valuable Award recipient (MVP's), Book authors, conference speakers, and the best practice creators. During this time, I absorbed everything they did and was truly lucky to have been mentored and managed by so many experts! > Helped out 150+ professionals on technology forums like MSDN (Microsoft Developer Network) & Stackoverflow. Among Top 5% of contributors on MSDN which led to the Microsoft community contributor award. (Lucient was formerly known as SolidQ, during my time there)

Led a cross-functional team (software engineers, business owners, and architects) to deliver an MVP of cloud-based data monitoring application. This product eventually went to become a flagship product for the company over the next two years and rode the wave of innovations in cloud computing in the early 2010s.